Food detection technologies play a vital role in ensuring food safety in the supply chains.
Conventional food detection methods for biological, chemical, and physical contaminants …

Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …

In today's era of increased food consumption, consumers have become more demanding in
terms of safety and the quality of products they consume. As a result, food authorities are …

Background With the growth of global imports and exports of agri-food commodities, food
safety issues have received widespread attention globally. To secure public health, it is …

Background Food adulteration has emerged as a significant challenge in the food industry,
impacting consumer health and trust in the market. Utilizing machine learning especially …

Quinoa flour is prone to economically motivated adulteration due to its high nutritional value
and growing demand worldwide. In this study, portable near-infrared spectroscopy (NIRS) …

Surface-enhanced Raman spectroscopy (SERS) has gained increasing attention because it
provides rich chemical information and high sensitivity, being applicable in many scientific …

Artificial Intelligence (AI) techniques have evolved into practical, fast and effective tools in
combination with detecting devices for quality assessment, particularly in adulteration and …

In this study, we aimed to discriminate four commercial blends of green tea in bagged
(inside its sachet) and non-bagged conditions using near-infrared (NIR) spectroscopy and …

Malware complexity is rapidly increasing, causing catastrophic impacts on computer
systems. Memory dump malware is gaining increased attention due to its ability to expose …